class_docstr: PUBDEV-2981: Sometimes algos just hangs and seem to be doing nothing.
  This class is created to train a kmeans model with different parameters settings and re-create the hangning
   for debugging purposes.
docstr: train a kmeans model with some parameters that will make the system hang.
docstr_tok: ["train","a","kmeans","model","with","some","parameters","that","will","make","the","system","hang","."]
code: def test_kmeans_hangup(self):
      """
      train a kmeans model with some parameters that will make the system hang.
      """
  
      print(
          "*******************************************************************************************"
      )
      h2o.cluster_info()
  
      good_params_list = {
          "seed": 1464837706,
          "max_iterations": 50,
          "init": "Furthest",
          "k": 5,
      }
      good_model_params = {"max_runtime_secs": 0.001}
      good_model = H2OKMeansEstimator(**good_params_list)
      good_model.train(
          x=self.x_indices,
          training_frame=self.training1_data,
          **good_model_params,
      )
  
      print("Finished.")
  
file_path: h2o-3/h2o-py/dynamic_tests/testdir_algos/kmeans/pyunit_PUBDEV_2981_kmeans_hanging.py
imports: import sys
  from builtins import range
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.kmeans import H2OKMeansEstimator
label_desc: Use image node_id 3 for calling the Test_PUBDEV_2981_kmeans obj's underlying member method code with example usage: obj.test_kmeans_hangup() without return types